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Side-by-side features, use cases and pricing — because the right pick depends on your job and budget, not just the ranking.

Cody logo
Cody
✓ verifiedPaid

Enterprise AI coding assistant that pulls context from an entire codebase to power chat, code edits and debugging.

245K visits/mo
Continue logo
Continue
✓ verifiedFreemium

Open-source AI coding assistant offering autocomplete and chat in IDEs; the company was acquired by Cursor.

775K visits/mo
729 visits/mo
Google Opal logo
Google Opal
✓ verifiedFree

Google Labs experiment for building and sharing AI mini-apps from natural-language prompts, no coding required.

2.1M visits/mo
Appy Pie logo
Appy Pie
✓ verifiedFree trial

Appy Pie's AI app builder turns prompts into publishable native iOS/Android apps with backend, payments and push, aimed at non-coders.

280K visits/mo
Pricing
Enterprise: starting at $16K (includes AI feature credits, scales with team size)

No public pricing

Free: $0
Pro: $69/month

No public pricing

Basic: $16/app/mo
Gold: $36/app/mo
Platinum: $60/app/mo

Free trial available

Core features
  • Codebase-aware developer chat
  • AI code completions and inline edits
  • Customizable and shareable prompts
  • Automatic bug identification and debugging help
  • Context filters to exclude sensitive repos
  • Integrates with major code hosts and IDEs
  • Open-source AI code assistant
  • Customizable autocomplete
  • In-editor AI chat
  • Community-built coding agent
  • AI-powered documentation generation
  • Automatic code analysis
  • Support for multiple programming languages
  • Architecture overview visualization
  • Consistent formatting
  • Code-doc synchronization
  • Build AI mini-apps from natural-language prompts
  • Visual editor for prompt/tool workflows
  • Share created apps with others
  • No-code AI app prototyping
  • Prompt-to-app AI generator
  • Native Android and iOS binaries
  • Included backend, payments and push
  • Visual editor with natural-language edits
  • Store publishing assistance
  • Prompts understood in 8 languages
Use cases
  • Engineers asking questions about an unfamiliar large codebase
  • Teams standardizing common coding tasks with shared prompts
  • Developers debugging errors faster with AI-assisted context
  • Enterprises running large-scale code migrations
  • Get AI code completions while coding
  • Ask questions about code in the editor
  • Build on an open-source coding-agent foundation
  • Speed up onboarding of new team members
  • Reduce support burden by providing good documentation
  • Improve code quality through documentation
  • Solve undocumented legacy code problems
  • Prototyping an AI workflow quickly
  • Sharing a custom AI mini-app
  • Automating a task with chained prompts
  • Launching native apps without coding
  • Building apps for SMB verticals
  • Publishing to Google Play and the App Store
  • Adding payments and push to an app
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